Research on optimization of aiming point of sub cluster anti-airport runway based on particle swarm optimization algorithm

Abstract

A particle swarm optimization algorithm is proposed in this study to optimize the fire distribution, so as to solve the fire distribution problem of cluster warhead anti-airport runway. The particle swarm optimization fitness function is built based on the calculation model of cluster warhead anti-airport runway blocking probability using the Monte Carlo method, and the optimal cluster warhead aiming point allocation scheme is obtained using the particle swarm optimization algorithm. Moreover, the feasibility and advantages of the algorithm are compared and analyzed in the case of different size airports and different number of submunitions. The results provide a reference for the formulation of operational scheme when the cluster bomb strikes the airport runway.